Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 9 of 9 for “"Izhikevich"”.
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ESTIMATING PARAMETERS OF A MULTI-CLASS IZHIKEVICH NEURON MODEL TO INVESTIGATE THE MECHANISMS OF DEEP BRAIN STIMULATION
… in the treatment of Parkinson's disease. An Izhikevich neuron model was used to accomplish this task and four classes of neurons were modeled. The parameters of each class were estimated using a genetic algorithm with a fitness function based on spike frequency as a function of input current. …
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Massively parallel neural computation
… computation of large neural networks using the Izhikevich spiking neuron model. Neural computation has been described as “embarrassingly parallel” as each neuron can be thought of as an independent system, with behaviour described by a mathematical model. However, the real challenge lies in …
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Neural Networks for Control of Artificial Life Form
… network consists of 8 neurons simulated using Izhikevich model which combines the property of both biological plausibility and computational efficiency. The neurons within the network are fully connected with each other. The ‘intelligence’ of the artificial life form is stored as value of …
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Characterization of a Spiking Neuron Model via a Linear Approach
… models. In Chapter 2, We propose a modified Izhikevich model with an adaptive threshold. In our two-stage estimation approach, a linear least squares method and a linear model of the threshold are derived to predict the location of neuronal spikes. However, desired results are not obtained …
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Integrating Biological and Artificial Neural Networks Processing on FPGAs
… spiking neural network counting 3,098 Izhikevich neurons and 9.6e6 synaptic interconnections c) real-time execution of spiking neural networks for neural activity decoding during a delayed reach-to-grasp task addressing low-power embedded applications.
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Investigating mechanisms of biophysical diversity between phasic and tonic motor neurons
… and obtain excitability properties. Using the Izhikevich model, we were able to quantify and predict the spiking properties of 1s and 1b MNs. Using a ball and stick model, we were able to reproduce the tonic firing pattern of 1b neurons and tested tonic firing patterns in different compartments …
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Feedback control of analog neurons and shunting inhibition in dendrites for bio-inspired neuromorphic systems.
… approach for analog neuron circuits based on the Izhikevich model and advances the use of dendritic circuits implemented with subthreshold MOSFET transistors. A key contribution is the development of a calibration technique for an analog neuron circuit capable of exhibiting complex spiking …
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Dynamics and precursor signs for phase transitions in neural systems
… vigilance states are developed, based on the Izhikevich spiking neuron model. A network of cortical neurons is assembled to examine the behaviour of the gamma-producing cortical network and its transition to lower frequencies due to effect of anaesthesia. Then a three-neuron model for the …
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Neocortical functional network development at the microscale: impairments and mechanisms in Rett Syndrome.
The brain comprises intricate neuronal circuitry arranged in complex patterns. A key challenge in studying brain network topology is that microscopic networks at the microscale cannot be studied noninvasively in humans. It is particularly challenging to study microscale networks during early …